Predicting Stock Market Price Direction with Uncertainty Using Quantile Regression Forest

Predicting Stock Market Price Direction with Uncertainty Using Quantile Regression Forest

Bibliographic Details
Main Author: Castoe, Minna
Format: Others
Language:English
Published: Uppsala universitet, Tillämpad matematik och statistik 2020
Subjects:
Other Mathematics
Annan matematik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-426188
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spelling ndltd-UPSALLA1-oai-DiVA.org-uu-4261882020-11-27T05:29:13ZPredicting Stock Market Price Direction with Uncertainty Using Quantile Regression ForestengCastoe, MinnaUppsala universitet, Tillämpad matematik och statistik2020Other MathematicsAnnan matematikStudent thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-426188U.U.D.M. project report ; 2020:50application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Other Mathematics
Annan matematik
spellingShingle Other Mathematics
Annan matematik
Castoe, Minna
Predicting Stock Market Price Direction with Uncertainty Using Quantile Regression Forest
author Castoe, Minna
author_facet Castoe, Minna
author_sort Castoe, Minna
title Predicting Stock Market Price Direction with Uncertainty Using Quantile Regression Forest
title_short Predicting Stock Market Price Direction with Uncertainty Using Quantile Regression Forest
title_full Predicting Stock Market Price Direction with Uncertainty Using Quantile Regression Forest
title_fullStr Predicting Stock Market Price Direction with Uncertainty Using Quantile Regression Forest
title_full_unstemmed Predicting Stock Market Price Direction with Uncertainty Using Quantile Regression Forest
title_sort predicting stock market price direction with uncertainty using quantile regression forest
publisher Uppsala universitet, Tillämpad matematik och statistik
publishDate 2020
url http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-426188
work_keys_str_mv AT castoeminna predictingstockmarketpricedirectionwithuncertaintyusingquantileregressionforest
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